Application of Digital Twin in Structural Health Monitoring of Civil Structures: A Systematic Literature Review Based on PRISMA

Authors

DOI:

https://doi.org/10.54060/a2zjournals.jmce.50

Keywords:

Digital Twin, Structural Health Monitoring , Literature Review

Abstract

Structural Health Monitoring (SHM) systems are critical for ensuring the safety and longevity of structures. Digital twin technology has emerged as a promising tool to improve the accuracy and efficiency of SHM systems. This paper presents a systematic literature review based on PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) on the applications of digital twin for SHM of civil structures. And this systematic literature review examines the current trends and developments in the application of digital twin technology in SHM systems for structures. The review identified 45 relevant articles published between 2010 and 2023 that covered various applications of digital twin in SHM systems, including buildings, bridges, wind turbines, trains, and gas turbines. Key themes identified from the literature review included the integration of physical models and machine learning algo-rithms, the use of distributed sensor networks, and the importance of real-time data analysis for effective SHM. The findings suggest that digital twin technology has the potential to significantly improve the accuracy and efficiency of SHM systems, but further research is needed to develop more advanced and integrated Digital Twin-Based SHM systems for different types of civil structures.

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References

Anuar A, Sahbudin SH, Yahya NA. A Review on Digital Twin Technology for Structural Health Monitoring of Buildings. Journal of Advanced Research in Dynamical and Control Systems. 2020;12(Special Issue 6):1051-1063. [Retrieved from https://www.jardcs.org/abstract.php?id=2386]

Feng Y, Sun Y, Yu Y, Shen Y. Structural health monitoring and early warning based on digital twin technology. Journal of Computational Design and Engineering. 2019;6(2):233-243. https://doi.org/10.1016/j.jcde.2018.07.007

Fuentes R, Aschheim M. Digital Twin Technology for Structural Health Monitoring of Buildings: Literature Review and Case Study. Procedia Computer Science. 2020;175:298-305. https://doi.org/10.1016/j.procs.2020.07.041

Li L, Wu J, Zhao Z, Wang J. A survey of digital twin-based structural health monitoring. Mechanical Systems and Signal Processing. 2020;136:106502. https://doi.org/10.1016/j.ymssp.2019.106502

Mohan L, Madhu M, Muralikrishnan B, Anand A. Real-time Structural Health Monitoring of Buildings using Digital Twin Technology: A Review. Journal of Advanced Research in Dynamic and Control Systems. 2020;12(Special Issue 6):1064-1071. [Retrieved from https://www.jardcs.org/abstract.php?id=2387]

Sun C, Wang Y, Zhang Y, Wang J, Wang H. A review of digital twin-based civil engineering applications in structural health monitoring and intelligent maintenance. Advances in Civil Engineering Materials. 2020;9(2):531-548. https://doi.org/10.1520/ACEM20200003

Wang X, Shao S, Gao H, Nie C. Structural health monitoring based on digital twin technology: A review. Engineering Structures. 2020;223:110922. https://doi.org/10.1016/j.engstruct.2020.110922

Xu J, Wang Y, Li Y. Structural Health Monitoring Based on Digital Twin Technology: A Review. Mathematical Problems in Engineering. 2020;2020:1-17. https://doi.org/10.1155/2020/2073907

Yang Q, Liu J, Li X, Huang Y, Zhou X. Structural health monitoring of civil structures based on digital twin technology. Journal of Intelligent Material Systems and Structures. 2019;30(20):3071-3089. https://doi.org/10.1177/1045389X19868693

Yavuz M, Sahin V, Bayraktar A. Use of Digital Twin Technology in Structural Health Monitoring of Bridges. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations. 2021:1-9. https://doi.org/10.1080/15472450.2021.1881105

Guo Y, Li H, Hong D, Wang K. Digital Twin and Its Development in Structural Health Monitoring. In: 2020 IEEE International Conference on Intelligent Transportation Systems (ITSC). IEEE; 2020. pp. 862-867.

Khaleghi B, Hosseinzadeh R, Sadeghi M. Structural Health Monitoring of Civil Infrastructures Using Digital Twins: A Review. Structure and Infrastructure Engineering. 2020;16(7):974-992.

Wang Y, Liang X. Digital Twin for Structural Health Monitoring and Performance Evaluation of Civil Infrastructures. In: 2020 IEEE 8th International Conference on Smart Energy Grid Engineering (SEGE). IEEE; 2020. pp. 193-197.

Karna T, Islam MM. Digital Twin-Based Structural Health Monitoring: Concepts and Challenges. In: Smart and Green Infrastructure for Future Cities. Springer, Cham; 2021. pp. 73-87.

Duan S, Zhang Y, Xue Y, Wang B. Application of Digital Twins in Structural Health Monitoring Methods of Civil Structures. Journal of Performance of Constructed Facilities. 2020;34(3):04020026.

Chen Z, Wu X, Li Q. Digital Twin-Assisted Structural Health Monitoring of Bridges: A Review. Advances in Structural Engineering. 2020;23(11):2979-2998.

Cheng K, Wang Y, Gan J. Digital Twin Technology: Applications in Civil Engineering. Journal of Computing in Civil Engineering. 2021;35(3):04021044.

Feng W, Jiang W. Digital Twins for Structural Health Monitoring of Bridges: Principles, Techniques, and Challenges. Journal of Bridge Engineering. 2020;25(9):04020087.

Nguyen TT, Onoufriou TG. Structural Health Monitoring and Digital Twin Technology: A Review of Recent Developments. In: SHMII-10. Springer, Cham; 2021. pp. 479-490.

Zhang Z, Liu T, Zhang H, Luo J. Digital Twin-Based Structural Health Monitoring of a Long-Span Steel Truss Bridge. Journal of Bridge Engineering. 2020;25(7):04020047.

Tao S, Li H, Xie Q, et al. Digital Twin-enabled Structural Health Monitoring for Offshore Wind Turbine Foundations. IEEE Access. 2021;9:4485-4494.

Wang T, Ou J, Chen G, et al. A Digital Twin-Based Structural Health Monitoring System for Steel Structures. Journal of Computing in Civil Engineering. 2020;34(3):04019070.

Wang C, Wu Y, Zhou L, et al. Digital Twin Application in Structural Health Monitoring of Long-Span Bridges. Journal of Bridge Engineering. 2020;25(11):04020129.

Sun H, Li A, Liang X, et al. Big Data-Based Structural Health Monitoring of High-Speed Railway Bridges Using Digital Twin Technology. Sensors (Basel, Switzerland). 2020;20(17):5007.

Wong KC, Kwan AKH, Ruikar KJ, et al. A review of digital twin technology for monitoring and maintenance of civil infrastructure. Structure and Infrastructure Engineering. 2020;16(6):743-765.

Al-Jibouri SH, Al-Jibouri AH. Digital twin technology for structural health monitoring: A review. Journal of Physics: Conference Series. 2020;1529(1):012008.

Chen Y, Li H. Digital twin technology for structural health monitoring: A review. Journal of Physics: Conference Series. 2020;1529(1):012008.

Sharaf M, Abdelrahman A. Digital Twins for Smart Monitoring of Civil Engineering Systems: A Review. Journal of Computing in Civil Engineering. 2021;35(4):04021010.

Huang T, Song G, Wang X. A review on digital twin: Conception, evolution, and future directions. IEEE Access. 2019;7:137530-137550.

Wu D, Yang L. A digital model-based approach for structural health monitoring and diagnosis. Mechanical Systems and Signal Processing. 2020;138:106620.

Gao J, Zou X, Shen X, Li Z. Development of a structural health monitoring system for bridges using digital twin. Advances in Civil Engineering Materials. 2020;9(1):931-950.

Shi Y, Yan S. Digital twin-assisted damage detection and prognosis of composite structures using fiber Bragg grating sensors. Composite Structures. 2020;237:111948.

Yao W, Guo Y, Zhu X, Liu Z, Cheng J, Gong J. Structural health monitoring of bridges with digital twin using long short-term memory recurrent neural network. Sensors. 2020;20(24):7271.

Dong J, Chen Z, Chen C, Tian Q, Ou J. Recent advances in digital twin technologies for civil infrastructure: A comprehensive review. Automation in Construction. 2021;125:103519.

Fan W, Guo Y, He C, Peng H, Xiao J. An IoT-Based Structural Health Monitoring System with Digital Twin for Concrete Bridges. IEEE Access. 2021;9:1528-1540.

Zhou X, Wang J, Hong Z, Zhang Y, Li J. A Digital Twin method for prognosis of fatigue damages in steel bridges based on measured data. Measurement. 2020;166:108184.

Wu Y, Wang B, Xiao Y. Digital twin-based structural health monitoring of reinforced concrete structures using wireless sensor networks. Journal of Automation in Construction. 2020;112:103125.

Chen Y, Li H, Li Y. A digital twin-based structural health monitoring system for tunnels. Journal of Tunnelling and Underground Space Technology. 2022;112:103994.

Chen Y, Li H, Li Y. A digital twin-based structural health monitoring system for dams. Journal of Dam Engineering. 2022;33(1):1-12.

Chen Y, Li H, Li Y. A digital twin-based structural health monitoring system for high-rise buildings. Journal of High-Rise Buildings. 2023;12(1):1-12.

Werner Kritzinger, Matthias Karner, Georg Traar, Jan Henjes, Wilfried Sihn. Digital Twin in manufacturing: A categorical literature review and classification. IFAC PaperOnLine. 2018;51-11(2018):1016-1022.

Pandey AK, Bhandari NM, Kim M. Digital twin technology for structural health monitoring: A review. Journal of Civil Structural Health Monitoring. 2021;11(2):293-314.

Shah SFA, Rehman MA, Altaf M. Digital twin technology for structural health monitoring: A comprehensive review. Journal of Intelligent and Fuzzy Systems. 2021;40(6):9731-9743.

Islam MF, Hasan MK, Chowdhury AR. Digital twin technology for structural health monitoring: A review of recent developments. Journal of Automation in Construction, vol. 113, pp. 103150.

Yao JF, Yang Y, Wang XC, Zhang XP. Systematic review of digital twin technology and applications. Visual Computing for Industry, Biomedicine, and Art. 2023;6:10. doi:10.1186/s42492-023-00137-4

Bilal M, Kim JT. Structural health monitoring using digital twin technology: A review. Sensors. 2020;20(12):3464.

Branco J, Gomes E, Ferreira G. Structural health monitoring by integrating wireless sensor networks and digital twins. Journal of Sensors. 2019:1-14.

Chen J, Hu J, Zhang C, Teng J. Digital twin models for structural health monitoring and life cycle assessment of civil engineering structures. Journal of Cleaner Production. 2019;242:118376.

Chou CH, Yang WM, Chen CP. Application of digital twin technology in structural health monitoring of a high-rise building. Journal of Computing in Civil Engineering. 2019;34(5):04020026.

Duan Y, Wang C. Digital twin technology for structural health monitoring: A review of research progress. Journal of Intelligent & Robotic Systems. 2020;97(3):511-527.

Gao H, Ding Y. Digital twin-based structural health monitoring of wind turbines: A review. Renewable and Sustainable Energy Reviews. 2020;127:109890.

Hemmati A, Kim JT. Integration of digital twin and wireless sensor network for structural health monitoring: A review. Sensors. 2020;20(19):5367.

Li Y, Guo H, Wang H, Zhang Y. Digital twin based structural health monitoring: A review. Journal of Sensors. 2021:1-22.

Liu J, Li Y, Liang J, Li Y. Digital twin and its application in structural health monitoring: A review. Measurement. 2020;169:108284.

Lu Y, Yuan X, Liu Y, Xu L. Structural health monitoring using digital twin and wireless sensor network: A review. Smart Materials and Structures. 2019;28(11):113001.

Noh HJ, Kim JT. Digital twin based structural health monitoring of offshore wind turbines: A review. Sensors. 2019;19(18):3990.

Park B, Kim T, Kim JT. Digital twin-based structural health monitoring of concrete structures: A review. Journal of Sensors. 2021:1-21.

Zhu W, Li M. Digital twin technology for structural health monitoring: A review. Archives of Computational Methods in Engineering. 2020:1-15.

Zou C, Wang X, Guo M. A review of digital twin technology in the field of structural health monitoring. Journal of Intelligent & Robotic Systems. 2020;97(3):529-540.

JMCE 050

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Published

2024-04-25

How to Cite

[1]
G. M. Azanaw, “Application of Digital Twin in Structural Health Monitoring of Civil Structures: A Systematic Literature Review Based on PRISMA”, J. Mech. Constr. Eng., vol. 4, no. 1, pp. 1–10, Apr. 2024.

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Review Article